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In this presentation, our recent work on comparing fully resolved EE and EL simulations for vertical risers will be presented. The flow conditions were chosen such that in the absence of the solid particles, the gas flow is turbulent albeit with a modest Reynolds number. In prior work, it had been demonstrated, using an EL code that follows every particle in the flow, that as the mass loading of the solids increases a transition from turbulent channel flow to a quasi-laminar flow occurs. Then, upon further increase in the solids mass loading, the riser flow exhibits so-called cluster-induced turbulence (CIT) whose statistics are driven by the presence of large clusters of particles, and not by the usual mean shear production mechanisms seen in turbulent channel flows. The principal objective of this study was to assess the ability of an EE code based on the KTGF to predict the flow regimes seen in the EL simulations, and it was shown that except for very dilute flows with large Stokes number particles the EE and EL approaches yield nearly the same flow statistics.
As time allows, our work on developing a second-order turbulence model for vertical risers will be described. Due to the strong anisotropy of the Reynolds stresses in CIT, it is necessary to formulate Reynolds-stress models for both phases, which are strongly coupled through the drag terms for the mean momentum and fluctuating kinetic energies. In general, this turbulence model is able to capture the regime transition from turbulent channel flow to CIT. However, at the higher mass loadings needed for CIT, the fully developed CIT riser flow is non-stationary in time due to the continuing presence of large clusters. In some sense, this result was to be expected due to the relatively slow time scales associated with the cluster dynamics, which cannot be separated from the turbulence integral time scales. But, from a computational standpoint, time-dependent simulations (as with the KTGF model) must still be performed, which are still cost prohibitive for most industrial applications.